ai scientist

Charterhouse Middle East

<div>
 
 
 Market Leading Salary, Plus Family Benefits/Perks, Plus Bonus
 
 
 
 
 
 
 Charterhouse is partnered with a global family office seeking to strengthen its Investment Technology Division. This division is responsible for developing analytical platforms, data-driven tools, and technology-enabled capabilities that support investment teams, operational functions, and enterprise wide strategic decision making. With a remit that spans across Data Science, Engineering, Quantitative Research, and Product Development, the division plays a pivotal role in evolving the organisation&rsquo;s digital and analytical landscape. This current opening is for a Senior AI Scientist who will be a key contributor to the organisation&rsquo;s data and product initiatives.
 
 
 
 
 
 The Senior AI Scientist will help lead data driven initiatives, guiding the design and execution of data workflows that meet strategic business objectives. The role focuses on providing technical leadership across data analysis, developing resilient pipelines for model training, tracking model performance, and managing data platforms. The role will have strong expertise in leveraging LLMs and applying prompt engineering techniques to elevate insights and improve model outcomes.
 
 
 
 
 
 
 Our client is looking for ideal candidate with the following qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Data Science, Computer Science, Statistics, or a closely related discipline.
 </li>
 <li>
 Experience working with LLM technologies, including pre-training, supervised fine-tuning (SFT), reinforcement learning (RL), and agent-based frameworks.
 </li>
 <li>
 Solid understanding of natural language processing (NLP) methods and algorithms.
 </li>
 <li>
 Industry experience in sectors such as healthcare, finance, or e‑commerce is an advantage.
 </li>
 <li>
 Contributions to open‑source projects, academic research, or relevant publications that showcase technical expertise and thought leadership are highly regarded.
 </li>
 <li>
 Hands‑on experience fine‑tuning and deploying LLMs, with an emphasis on optimizing models for specific applications.
 </li>
 <li>
 Proficiency with AI development frameworks such as PyTorch, DeepSpeed, and Hugging Face Transformers.
 </li>
 <li>
 Strong capabilities in prompt engineering and enhancing LLM performance through algorithmic improvements.
 </li>
 <li>
 Proven problem‑solving skills, particularly in applying LLMs to real‑world use cases.
 </li>
 <li>
 Ability to excel in a collaborative, fast‑moving environment and deliver meaningful AI-driven outcomes.
 </li>
 <li>
 Excellent English communication skills are essential.
 </li>
 </ul>
 
 
 
 
 
 *Please note this role offers relocation assistance for talented candidates based outside the region*
 
 
</div>

Senior AI Scientist

Intuit

<div><h2 class="jobSectionHeader">Overview</h2>
Come join the Consumer Group (CG) AI Team as a Principal AI Scientist. The CG AI team focuses on bringing the top-notch AI features to Intuit&rsquo;s TurboTax customers for their delight. You will get the chance to lead the work to leverage the cutting-edge AI technologies, as well as collaborate across organizations and functions with our partners in the engineering, product management, analytics and design departments to ensure that we are building a pleasant customer experience, striving for more money, less work and complete confidence for our TurboTax customers. 
Responsibilities<ul><li>
Practices leadership and communication skills to influence teams and to evangelize data science across the organization</li><li>
Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products</li><li>
Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team&rsquo;s work, and holding the team accountable for high quality code, git, design, costs and implementation standards</li><li>
Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL and design/build featurization.</li><li>
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.</li><li>
Communicates with partners to ensure successful delivery and integration of DS solutions.</li><li>
Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.</li></ul><div></div> 
Qualifications<ul><li>
10+ years of industry experience with data science</li><li>
BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent experience</li><li>
8+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.</li><li>
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.</li><li>
Proficient in NLP techniques, Explainable AI, and ML frameworks.</li><li>
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.</li><li>
Experience with building end-to-end reusable pipelines from data acquisition to model output delivery</li><li>
Quick learner, adaptable, with the ability to work independently in a fast-paced environment</li><li>
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:<div> 
Bay Area California: $260,500 - 352,500 
Southern California: $237,000 - 320,500</div></div>

Principal AI Scientist

Pixalate, Inc.

<div><h1 class="jobSectionHeader">Applied AI Scientist</h1>
Employment Type: Full-Time 
Location: Remote, Pakistan 
Level: Mid to Senior (PhD Required)<h2 class="jobSectionHeader">
About the Role</h2>
We're looking for a quantitatively-strong data professional who can bridge rigorous statistical thinking with hands-on AI development. You'll work across Pixalate's full product suite &mdash; trust &amp; safety, ad fraud detection, brand safety, and more &mdash; using your background in statistics and ML to build intelligent agents and automated pipelines that keep our data accurate, our models honest, and our products reliable.
This role is for someone who understands data deeply and can translate that into working AI systems that do the checking, flagging, and quality assurance at scale.
Responsibilities<ul><li>
Analyze traffic, behavioral, and signals data to identify patterns, anomalies, and data quality issues</li><li>
Translate complex quantitative findings into clear, actionable recommendations for engineering, product, and cross-functional teams</li><li>
Design and maintain AI agents, dashboards and reporting pipelines to track data quality, trends, and product health over time</li></ul><ul><li>
Partner with engineering and product teams to ensure data quality and integrity across product pipelines</li><li>
Collaborate with AI/ML teams to close the feedback loop between QA findings and model improvements</li><li>
Support data needs across Pixalate's product portfolio &mdash; including supply-side intelligence, MFA detection, seller/app ratings, and compliance-related products</li></ul>
What We're Looking For
Must-Have<ul><li>
PhD in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field</li><li>
3&ndash;6 years of experience in a data science, ML, or data analytics role</li><li>
Strong statistical foundation &mdash; you understand distributions, hypothesis testing, model evaluation, and where things go wrong</li><li>
Hands-on experience building with LLMs and AI agents, including prompt engineering, tool use, and designing agentic workflows using existing frameworks (e.g. LangChain, LlamaIndex, CrewAI, AutoGen, or similar)</li><li>
Proficiency in Python and SQL</li><li>
Ability to think critically about data quality and model outputs &mdash; you're naturally skeptical and rigorous</li><li>
Clear written and verbal communication skills</li></ul>
Nice-to-Have<ul><li>
Prior experience in cybersecurity, fraud detection, trust &amp; safety, or digital advertising ecosystems</li><li>
Exposure to multi-agent orchestration patterns</li><li>
Comfort working in fast-moving environments with evolving product requirements</li></ul>
We're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety. 
 
Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide. 
Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:<ul><li>
Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says</li><li>
Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV</li><li>
Washington Post: Your kids&rsquo; apps are spying on them</li><li>
Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google&rsquo;s Black Box Ad Empire</li><li>
ABC7 News: The State of Children's Privacy Online</li><li>
NBC News: How many apps are tracking your children</li></ul>
Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.<h1 class="jobSectionHeader">
Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.</h1>
XQZue0wI6K</div>

Applied AI Scientist (PhD Required)

Stealth AI Startup

<div>
 
 About the Role
 
 
 We are seeking an exceptional Lead Researcher to lead and scale a world-class AI research organization focused on advancing the state of the art in machine learning, large language models, and applied AI systems. This role is both
 
 strategic and hands-on
 
 , responsible for defining long-term research vision while actively contributing to breakthrough innovations that directly impact product and business outcomes.
 
 
 As Head of Research, you will build, mentor, and manage a high-caliber team of researchers and research engineers, partner closely with executive leadership, and translate cutting-edge research into scalable, real-world systems.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Define and own the
 
 research vision and roadmap
 
 , aligned with company strategy and long-term goals
 </li>
 <li>
 Lead and grow a team of
 
 AI Researchers, Applied Scientists, and Research Engineers
 
 </li>
 <li>
 Drive innovation across areas such as:
 </li>
 <li>
 Large Language Models (LLMs)
 </li>
 <li>
 Reasoning and planning systems
 </li>
 <li>
 Representation learning
 </li>
 <li>
 Robustness, safety, and evaluation
 </li>
 <li>
 Multimodal and agent-based systems
 </li>
 <li>
 Balance
 
 long-horizon exploratory research
 
 with
 
 near-term applied research
 
 that powers products
 </li>
 <li>
 Ensure research excellence through strong scientific rigor, reproducibility, and evaluation standards
 </li>
 <li>
 Collaborate with Product, Engineering, and Leadership to transition research into production
 </li>
 <li>
 Represent the company externally through publications, conferences, and industry engagement
 </li>
 <li>
 Establish best practices for research processes, tooling, and infrastructure
 </li>
 <li>
 Mentor senior researchers and develop future research leaders
 </li>
 </ul>
 
 Required Qualifications
 
 <ul>
 <li>
 PhD in Computer Science, Machine Learning, AI, or a closely related field (or equivalent research experience)
 </li>
 <li>
 0-7 years of experience in AI/ML research, with at least several years in a
 
 research role
 
 </li>
 <li>
 Proven track record of
 
 high-impact research contributions
 
 (top-tier conferences, journals, or widely adopted systems)
 </li>
 <li>
 Deep expertise in modern ML techniques, especially
 
 LLMs, deep learning, and foundation models
 
 </li>
 <li>
 Experience leading and scaling research teams in industry or advanced research labs
 </li>
 <li>
 Strong understanding of the tradeoffs between research innovation and production constraints
 </li>
 <li>
 Ability to communicate complex technical ideas clearly to both technical and non-technical stakeholders
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience leading research at a top AI lab, FAANG company, or well-known AI startup
 </li>
 <li>
 Publications at leading venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
 </li>
 <li>
 Experience with model training at scale, including distributed systems and ML infrastructure
 </li>
 <li>
 Background in deploying research models into real-world products
 </li>
 <li>
 Prior experience influencing company-level technical strategy
 </li>
 </ul>
 
 What We Offer
 
 <ul>
 <li>
 
 Base salary up to $500,000
 
 , plus competitive equity
 </li>
 <li>
 Opportunity to shape the future direction of cutting-edge AI research
 </li>
 <li>
 Access to significant compute and research resources
 </li>
 <li>
 Collaboration with elite engineers, researchers, and product leaders
 </li>
 <li>
 A culture that values deep thinking, experimentation, and long-term impact
 </li>
 </ul>
 
 
</div>

AI Scientist - LLMs [32814]

The Hartford

<div>Data Scientist - GD08AE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
Step into the future with The Hartford as an AI Scientist, where Generative AI isn&rsquo;t just a buzzword&mdash;it&rsquo;s central to our strategy. Join a team that&rsquo;s advancing AI‑driven solutions across underwriting and sales enablement, transforming how complex commercial risks are evaluated and decisions are made. As part of our Applied AI Middle &amp; Large Business team, you&rsquo;ll work on high‑impact use cases and help shape the development of GenAI capabilities embedded directly into core business workflows. Here, your work delivers real, measurable impact&mdash;driving innovation, efficiency, and smarter decision‑making with cutting‑edge AI tools. If you&rsquo;re looking for a role where your expertise is essential to the future of commercial insurance, The Hartford is the place for you. 
 
We are looking for a technically proficient GenAI data scientist with deep implementation experience in building and evaluating GenAI systems, and a proven ability to stay at the forefront tools and techniques in the evolving AI landscape. 
 
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). 
 
Responsibilities: 
 
Support The Hartford&rsquo;s AI innovation strategy to identify and implement high-end use cases, ensuring alignment with business objectives and emerging industry trends.
 
Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry. 
Partner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts. 
Design and build GenAI solutions for tasks such as summarization, question answering, search, data synthesis, etc.
Design, build, and support traditional machine learning solutions, while developing and maintaining robust Python infrastructure using strong coding fundamentals such as object‑oriented programming, modular design, and testing. 
Apply AI techniques to complex and heterogeneous risk exposures within Middle &amp; Large Commercial portfolios. 
Rapidly prototype with cutting-edge tools, such as VertexAI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc. 
Research and recommend novel foundation model options, tools, and libraries to improve solutions in performance and reliability. 
Develop evaluation pipelines for generative outputs using a mix of automatic metrics, human feedback, and llm-as-a-judge methods. 
Collaborate with ML Ops to ensure best practice is followed for scalable training and deployment. 
 
 
 
Qualifications: 
 
Master&rsquo;s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field. 
3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI. 
Proven experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc. 
Solid understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation. 
Proficiency in Python and ML frameworks such as Scikit-Learn, PyTorch, TensorFlow, etc. 
Experience developing and deploying agentic AI workflows and systems 
Experience with vector databases such as Chroma, Pinecone, etc. and cloud platforms such as GCP, AWS, Azure, etc. 
Strong analytical, problem solving and debugging skills.
 
Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$90,160 - $135,240
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</div>

Agentic AI Data Scientist

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